Team

Emmanuel Abbe received his Ph.D. degree from the EECS Department at the Massachusetts Institute of Technology (MIT) in 2008, and his M.S. degree from the Department of Mathematics at the Ecole Polytechnique Fédérale de Lausanne in 2003.

He was at Princeton University as an assistant professor from 2012-2016 and an associate professor from 2016, jointly in the Program for Applied and Computational Mathematics and the Department of Electrical Engineering, as well an associate faculty in the Department of Mathematics at Princeton University since 2016. He joined EPFL in 2018 as a Full Professor, jointly in the Mathematics Institute and the School of Computer and Communication Sciences, where he holds the Chair of Mathematical Data Science.

He is the recipient/co-recipient of the Foundation Latsis International Prize; the Bell Labs Prize; the NSF CAREER Award; the Google Faculty Research Award; the Walter Curtis Johnson Prize from Princeton University; the von Neumann Fellowship from the Institute for Advanced Study; the IEEE Information Theory Society Paper Award; the Simons-NSF Mathematics of Deep Learning Collaborative Research Award; the ICML Outstanding Paper Award; the Frontiers of Science Award.

He is also a member of the Deepfoundations collaboration on the theoretical foundations of deep learning, the former director of the new Bernoulli Center for Fundamental Studies at EPFL, as well as a senior research scientist at Apple MLR.